<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.11"/>
<title>CUTLASS: cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
  $(document).ready(function() { init_search(); });
</script>
<script type="text/x-mathjax-config">
  MathJax.Hub.Config({
    extensions: ["tex2jax.js"],
    jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td id="projectlogo"><img alt="Logo" src="cutlass-logo-small.png"/></td>
  <td id="projectalign" style="padding-left: 0.5em;">
   <div id="projectname">CUTLASS
   </div>
   <div id="projectbrief">CUDA Templates for Linear Algebra Subroutines and Solvers</div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.11 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
  <div id="navrow1" class="tabs">
    <ul class="tablist">
      <li><a href="index.html"><span>Main&#160;Page</span></a></li>
      <li><a href="modules.html"><span>Modules</span></a></li>
      <li><a href="namespaces.html"><span>Namespaces</span></a></li>
      <li class="current"><a href="annotated.html"><span>Classes</span></a></li>
      <li><a href="files.html"><span>Files</span></a></li>
      <li>
        <div id="MSearchBox" class="MSearchBoxInactive">
        <span class="left">
          <img id="MSearchSelect" src="search/mag_sel.png"
               onmouseover="return searchBox.OnSearchSelectShow()"
               onmouseout="return searchBox.OnSearchSelectHide()"
               alt=""/>
          <input type="text" id="MSearchField" value="Search" accesskey="S"
               onfocus="searchBox.OnSearchFieldFocus(true)" 
               onblur="searchBox.OnSearchFieldFocus(false)" 
               onkeyup="searchBox.OnSearchFieldChange(event)"/>
          </span><span class="right">
            <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
          </span>
        </div>
      </li>
    </ul>
  </div>
  <div id="navrow2" class="tabs2">
    <ul class="tablist">
      <li><a href="annotated.html"><span>Class&#160;List</span></a></li>
      <li><a href="classes.html"><span>Class&#160;Index</span></a></li>
      <li><a href="inherits.html"><span>Class&#160;Hierarchy</span></a></li>
      <li><a href="functions.html"><span>Class&#160;Members</span></a></li>
    </ul>
  </div>
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div id="nav-path" class="navpath">
  <ul>
<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm.html">gemm</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm_1_1warp.html">warp</a></li><li class="navelem"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html">MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</a></li>  </ul>
</div>
</div><!-- top -->
<div class="header">
  <div class="summary">
<a href="#pub-types">Public Types</a> &#124;
<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-attribs">Static Public Attributes</a> &#124;
<a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e406d341fae1780c4b8cd55fe869ef91.html">List of all members</a>  </div>
  <div class="headertitle">
<div class="title">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</div>  </div>
</div><!--header-->
<div class="contents">

<p><code>#include &lt;<a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:ad207cf1fa0534c8af6d571df376d8512"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad207cf1fa0534c8af6d571df376d8512">Shape</a> = Shape_</td></tr>
<tr class="memdesc:ad207cf1fa0534c8af6d571df376d8512"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of tile to load (concept: PitchLinearShape)  <a href="#ad207cf1fa0534c8af6d571df376d8512">More...</a><br /></td></tr>
<tr class="separator:ad207cf1fa0534c8af6d571df376d8512"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a214ef88078b4c8d18031e0ea5380b72a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a> = Element_</td></tr>
<tr class="memdesc:a214ef88078b4c8d18031e0ea5380b72a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element type.  <a href="#a214ef88078b4c8d18031e0ea5380b72a">More...</a><br /></td></tr>
<tr class="separator:a214ef88078b4c8d18031e0ea5380b72a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a130187b87f2d284d9f3f9d1bcacd5a47"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a130187b87f2d284d9f3f9d1bcacd5a47">Layout</a> = <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a4272bab4dedfb6cb8a54ef5e6a087c56">kCrosswise</a> &gt;</td></tr>
<tr class="memdesc:a130187b87f2d284d9f3f9d1bcacd5a47"><td class="mdescLeft">&#160;</td><td class="mdescRight">Layout of source tile.  <a href="#a130187b87f2d284d9f3f9d1bcacd5a47">More...</a><br /></td></tr>
<tr class="separator:a130187b87f2d284d9f3f9d1bcacd5a47"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9f08f1ae1bfbe2b3fdad0105d5f36cfc"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a9f08f1ae1bfbe2b3fdad0105d5f36cfc">InstructionShape</a> = InstructionShape_</td></tr>
<tr class="memdesc:a9f08f1ae1bfbe2b3fdad0105d5f36cfc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of one matrix product operation (concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>)  <a href="#a9f08f1ae1bfbe2b3fdad0105d5f36cfc">More...</a><br /></td></tr>
<tr class="separator:a9f08f1ae1bfbe2b3fdad0105d5f36cfc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac2d29e0be22926585ddbfa22354c860d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a>&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a130187b87f2d284d9f3f9d1bcacd5a47">Layout</a> &gt;</td></tr>
<tr class="memdesc:ac2d29e0be22926585ddbfa22354c860d"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> type for loading element from a tensor.  <a href="#ac2d29e0be22926585ddbfa22354c860d">More...</a><br /></td></tr>
<tr class="separator:ac2d29e0be22926585ddbfa22354c860d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5afb883b6fd6b897ff852ab93c6ba871"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td></tr>
<tr class="memdesc:a5afb883b6fd6b897ff852ab93c6ba871"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type.  <a href="#a5afb883b6fd6b897ff852ab93c6ba871">More...</a><br /></td></tr>
<tr class="separator:a5afb883b6fd6b897ff852ab93c6ba871"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad9e19bef825c4f9eb203ad22149a79a5"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad9e19bef825c4f9eb203ad22149a79a5">LongIndex</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td></tr>
<tr class="memdesc:ad9e19bef825c4f9eb203ad22149a79a5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long Index type.  <a href="#ad9e19bef825c4f9eb203ad22149a79a5">More...</a><br /></td></tr>
<tr class="separator:ad9e19bef825c4f9eb203ad22149a79a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a47b254c2c94b869ca7e6f73d98e2a155"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td></tr>
<tr class="memdesc:a47b254c2c94b869ca7e6f73d98e2a155"><td class="mdescLeft">&#160;</td><td class="mdescRight">Coordinate for an element in the tensor.  <a href="#a47b254c2c94b869ca7e6f73d98e2a155">More...</a><br /></td></tr>
<tr class="separator:a47b254c2c94b869ca7e6f73d98e2a155"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8bcdfb8d9705c2b7fb0943d3ce8ab51e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a8bcdfb8d9705c2b7fb0943d3ce8ab51e">Base</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; Shape::kColumn, Shape::kRow &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#aea3b4653fc086476a28f8b9c7efc8c55">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a4272bab4dedfb6cb8a54ef5e6a087c56">kCrosswise</a> &gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; InstructionShape::kColumn, InstructionShape::kRow &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a3744dbf27ac3b792738eba665ae381e7">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0b9caf53db250e8dc24316df2c710b53">kThreads</a>, PartitionsK_ &gt;</td></tr>
<tr class="memdesc:a8bcdfb8d9705c2b7fb0943d3ce8ab51e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Underlying tile iterator implementation.  <a href="#a8bcdfb8d9705c2b7fb0943d3ce8ab51e">More...</a><br /></td></tr>
<tr class="separator:a8bcdfb8d9705c2b7fb0943d3ce8ab51e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abe2b74533d91f56799cab0365af27fe5"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> = Array&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, Shape::kCount/<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0b9caf53db250e8dc24316df2c710b53">kThreads</a> &gt;</td></tr>
<tr class="memdesc:abe2b74533d91f56799cab0365af27fe5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fragment object holding a thread's part of a tile.  <a href="#abe2b74533d91f56799cab0365af27fe5">More...</a><br /></td></tr>
<tr class="separator:abe2b74533d91f56799cab0365af27fe5"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ad9ac79132faaf9d6913e13915f1d7cde"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad9ac79132faaf9d6913e13915f1d7cde">MmaTensorOpMultiplicandTileIterator</a> ()</td></tr>
<tr class="memdesc:ad9ac79132faaf9d6913e13915f1d7cde"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default ctor constructs null iterator.  <a href="#ad9ac79132faaf9d6913e13915f1d7cde">More...</a><br /></td></tr>
<tr class="separator:ad9ac79132faaf9d6913e13915f1d7cde"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a42e843e212116c332aecd3468fa53a0e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a42e843e212116c332aecd3468fa53a0e">MmaTensorOpMultiplicandTileIterator</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a> const &amp;ref, int lane_id)</td></tr>
<tr class="memdesc:a42e843e212116c332aecd3468fa53a0e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor from <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a>.  <a href="#a42e843e212116c332aecd3468fa53a0e">More...</a><br /></td></tr>
<tr class="separator:a42e843e212116c332aecd3468fa53a0e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a283aff9bb995527e3a65752a3e2d8fe6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a283aff9bb995527e3a65752a3e2d8fe6">add_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad9e19bef825c4f9eb203ad22149a79a5">LongIndex</a> offset)</td></tr>
<tr class="memdesc:a283aff9bb995527e3a65752a3e2d8fe6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Adds a pointer offset to internal pointer(s) to advance through memory.  <a href="#a283aff9bb995527e3a65752a3e2d8fe6">More...</a><br /></td></tr>
<tr class="separator:a283aff9bb995527e3a65752a3e2d8fe6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad8b8e35294c22e6b18be337ae3544c76"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad8b8e35294c22e6b18be337ae3544c76">add_tile_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="separator:ad8b8e35294c22e6b18be337ae3544c76"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaad33f64f25dbcca8a34f577ad247595"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#aaad33f64f25dbcca8a34f577ad247595">operator++</a> ()</td></tr>
<tr class="memdesc:aaad33f64f25dbcca8a34f577ad247595"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#aaad33f64f25dbcca8a34f577ad247595">More...</a><br /></td></tr>
<tr class="separator:aaad33f64f25dbcca8a34f577ad247595"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac698bc8cd44572e1f3ee52771fb2cefb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac698bc8cd44572e1f3ee52771fb2cefb">operator--</a> ()</td></tr>
<tr class="memdesc:ac698bc8cd44572e1f3ee52771fb2cefb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#ac698bc8cd44572e1f3ee52771fb2cefb">More...</a><br /></td></tr>
<tr class="separator:ac698bc8cd44572e1f3ee52771fb2cefb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab44ddbcd150470e1d234b2138ee1e8ef"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ab44ddbcd150470e1d234b2138ee1e8ef">operator+=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="separator:ab44ddbcd150470e1d234b2138ee1e8ef"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a14abb245ffc13842b281db8f72b71361"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a14abb245ffc13842b281db8f72b71361">operator-=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="separator:a14abb245ffc13842b281db8f72b71361"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a13030898f2eaab4b5d4136ff0932d649"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a13030898f2eaab4b5d4136ff0932d649">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag) const </td></tr>
<tr class="memdesc:a13030898f2eaab4b5d4136ff0932d649"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory at the location pointed to by the iterator.  <a href="#a13030898f2eaab4b5d4136ff0932d649">More...</a><br /></td></tr>
<tr class="separator:a13030898f2eaab4b5d4136ff0932d649"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2eb415e875f59697d8b38af6bfa540de"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a2eb415e875f59697d8b38af6bfa540de">load_with_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a2eb415e875f59697d8b38af6bfa540de"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a2eb415e875f59697d8b38af6bfa540de">More...</a><br /></td></tr>
<tr class="separator:a2eb415e875f59697d8b38af6bfa540de"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a58c1c86c36a821bdbba0e7bbe59e79ec"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a58c1c86c36a821bdbba0e7bbe59e79ec">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a58c1c86c36a821bdbba0e7bbe59e79ec"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a58c1c86c36a821bdbba0e7bbe59e79ec">More...</a><br /></td></tr>
<tr class="separator:a58c1c86c36a821bdbba0e7bbe59e79ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afde63a685ffcd99a9bbc1c9b6e121c9a"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#afde63a685ffcd99a9bbc1c9b6e121c9a">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset) const </td></tr>
<tr class="memdesc:afde63a685ffcd99a9bbc1c9b6e121c9a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#afde63a685ffcd99a9bbc1c9b6e121c9a">More...</a><br /></td></tr>
<tr class="separator:afde63a685ffcd99a9bbc1c9b6e121c9a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1c344341137b6d501556dbbf29dc53ac"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a1c344341137b6d501556dbbf29dc53ac">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a1c344341137b6d501556dbbf29dc53ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a1c344341137b6d501556dbbf29dc53ac">More...</a><br /></td></tr>
<tr class="separator:a1c344341137b6d501556dbbf29dc53ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8514fa821eb580b6b80c33fc32c6b197"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a8514fa821eb580b6b80c33fc32c6b197">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a8514fa821eb580b6b80c33fc32c6b197"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a8514fa821eb580b6b80c33fc32c6b197">More...</a><br /></td></tr>
<tr class="separator:a8514fa821eb580b6b80c33fc32c6b197"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0f61bf6c060f3e0a471608f45b3580c3"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0f61bf6c060f3e0a471608f45b3580c3">set_kgroup_index</a> (int k_group)</td></tr>
<tr class="separator:a0f61bf6c060f3e0a471608f45b3580c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:aea3b4653fc086476a28f8b9c7efc8c55"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#aea3b4653fc086476a28f8b9c7efc8c55">kOperand</a> = Operand_</td></tr>
<tr class="memdesc:aea3b4653fc086476a28f8b9c7efc8c55"><td class="mdescLeft">&#160;</td><td class="mdescRight">Operand tag.  <a href="#aea3b4653fc086476a28f8b9c7efc8c55">More...</a><br /></td></tr>
<tr class="separator:aea3b4653fc086476a28f8b9c7efc8c55"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4272bab4dedfb6cb8a54ef5e6a087c56"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a4272bab4dedfb6cb8a54ef5e6a087c56">kCrosswise</a> = Crosswise</td></tr>
<tr class="memdesc:a4272bab4dedfb6cb8a54ef5e6a087c56"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element number when the layout crosses.  <a href="#a4272bab4dedfb6cb8a54ef5e6a087c56">More...</a><br /></td></tr>
<tr class="separator:a4272bab4dedfb6cb8a54ef5e6a087c56"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3744dbf27ac3b792738eba665ae381e7"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a3744dbf27ac3b792738eba665ae381e7">kOpDelta</a> = OpDelta_</td></tr>
<tr class="separator:a3744dbf27ac3b792738eba665ae381e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0b9caf53db250e8dc24316df2c710b53"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0b9caf53db250e8dc24316df2c710b53">kThreads</a> = 32</td></tr>
<tr class="memdesc:a0b9caf53db250e8dc24316df2c710b53"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of participating threads.  <a href="#a0b9caf53db250e8dc24316df2c710b53">More...</a><br /></td></tr>
<tr class="separator:a0b9caf53db250e8dc24316df2c710b53"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename Shape_, Operand Operand_, typename Element_, typename InstructionShape_, int OpDelta_, int Crosswise, int PartitionsK_&gt;<br />
class cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</h3>

<p>This tile iterator is specialized for 32-thread TensorOps. It uses LDSM to load from shared memory and therefore must be initialized with a <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> to shared memory.</p>
<p>Satisfies: ReadableRandomAccessContiguousTileIteratorConcept </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
<a class="anchor" id="a8bcdfb8d9705c2b7fb0943d3ce8ab51e"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a8bcdfb8d9705c2b7fb0943d3ce8ab51e">Base</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;Shape::kColumn, Shape::kRow&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#aea3b4653fc086476a28f8b9c7efc8c55">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise</a>&lt;<a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a4272bab4dedfb6cb8a54ef5e6a087c56">kCrosswise</a>&gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;InstructionShape::kColumn, InstructionShape::kRow&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a3744dbf27ac3b792738eba665ae381e7">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0b9caf53db250e8dc24316df2c710b53">kThreads</a>, PartitionsK_&gt;</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a214ef88078b4c8d18031e0ea5380b72a"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a> =  Element_</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="abe2b74533d91f56799cab0365af27fe5"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> =  Array&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, Shape::kCount / <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a0b9caf53db250e8dc24316df2c710b53">kThreads</a>&gt;</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a5afb883b6fd6b897ff852ab93c6ba871"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a9f08f1ae1bfbe2b3fdad0105d5f36cfc"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a9f08f1ae1bfbe2b3fdad0105d5f36cfc">InstructionShape</a> =  InstructionShape_</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a130187b87f2d284d9f3f9d1bcacd5a47"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a130187b87f2d284d9f3f9d1bcacd5a47">Layout</a> =  <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a4272bab4dedfb6cb8a54ef5e6a087c56">kCrosswise</a>&gt;</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="ad9e19bef825c4f9eb203ad22149a79a5"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad9e19bef825c4f9eb203ad22149a79a5">LongIndex</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="ad207cf1fa0534c8af6d571df376d8512"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad207cf1fa0534c8af6d571df376d8512">Shape</a> =  Shape_</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a47b254c2c94b869ca7e6f73d98e2a155"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="ac2d29e0be22926585ddbfa22354c860d"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a>&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a214ef88078b4c8d18031e0ea5380b72a">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a130187b87f2d284d9f3f9d1bcacd5a47">Layout</a>&gt;</td>
        </tr>
      </table>
</div><div class="memdoc">

</div>
</div>
<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a class="anchor" id="ad9ac79132faaf9d6913e13915f1d7cde"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a42e843e212116c332aecd3468fa53a0e"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ac2d29e0be22926585ddbfa22354c860d">TensorRef</a> const &amp;&#160;</td>
          <td class="paramname"><em>ref</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>lane_id</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
<a class="anchor" id="a283aff9bb995527e3a65752a3e2d8fe6"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#ad9e19bef825c4f9eb203ad22149a79a5">LongIndex</a>&#160;</td>
          <td class="paramname"><em>offset</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="ad8b8e35294c22e6b18be337ae3544c76"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_tile_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<p>Advances an iterator along logical dimensions of matrix in units of whole tiles </p>

</div>
</div>
<a class="anchor" id="a13030898f2eaab4b5d4136ff0932d649"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em></td><td>)</td>
          <td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="afde63a685ffcd99a9bbc1c9b6e121c9a"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<a class="anchor" id="a1c344341137b6d501556dbbf29dc53ac"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<a class="anchor" id="a58c1c86c36a821bdbba0e7bbe59e79ec"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<a class="anchor" id="a8514fa821eb580b6b80c33fc32c6b197"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<a class="anchor" id="a2eb415e875f59697d8b38af6bfa540de"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#abe2b74533d91f56799cab0365af27fe5">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a5afb883b6fd6b897ff852ab93c6ba871">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<a class="anchor" id="aaad33f64f25dbcca8a34f577ad247595"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator++ </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="ab44ddbcd150470e1d234b2138ee1e8ef"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator+= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

</div>
</div>
<a class="anchor" id="ac698bc8cd44572e1f3ee52771fb2cefb"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-- </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

</div>
</div>
<a class="anchor" id="a14abb245ffc13842b281db8f72b71361"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0352e0dcab42bc8360606874e00173556.html#a47b254c2c94b869ca7e6f73d98e2a155">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a0f61bf6c060f3e0a471608f45b3580c3"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::set_kgroup_index </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k_group</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<p>Notify the iterator which k-group it is currently pointing to.</p>
<p>This does not advance the iterator. Rather, it overrides its internal tracking with constant-valued k-group index to enable the compiler to fold constants and achieve more efficient code.</p>
<p>This is used by some nontrivial permuted layouts. </p>

</div>
</div>
<h2 class="groupheader">Member Data Documentation</h2>
<a class="anchor" id="a4272bab4dedfb6cb8a54ef5e6a087c56"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kCrosswise = Crosswise</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a3744dbf27ac3b792738eba665ae381e7"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOpDelta = OpDelta_</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">
<p>Delta between *MMA operations (in units of *MMA operations, concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>) </p>

</div>
</div>
<a class="anchor" id="aea3b4653fc086476a28f8b9c7efc8c55"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOperand = Operand_</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<a class="anchor" id="a0b9caf53db250e8dc24316df2c710b53"></a>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kThreads = 32</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

</div>
</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a></li>
</ul>
</div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
Generated by &#160;<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/>
</a> 1.8.11
</small></address>
</body>
</html>
